7
Fast Bayesian Approach for Stochastic Model Updating using Modal Information from Multiple Setups
1 University of Macau (China).
2 Hong Kong University of Science and Technology (China).
3 University of Thessaly (Greece).
* Corresponding author: wangjiyan@um.edu.mo
This chapter illustrates the suitability of advanced Bayesian techniques to extract the modal properties of vibrating structures and stochastic model updating. A technique for variable separation is presented so that the interaction between spectrum variables (e.g. frequency, damping ratio as well as the amplitude of modal excitation and prediction error) and spatial variables (e.g. mode shape components) can be ...
Get Bayesian Inverse Problems now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.